Prof. Dr. Jan Mendling
Profil
Forschungsthemen7
Auswirkungen von Process-Mining-Werkzeugen auf die Prozessanalyse (ProImpact)
Quelle ↗Förderer: DFG Sachbeihilfe Internationale Kooperation Zeitraum: 09/2024 - 08/2027 Projektleitung: Prof. Dr. Jan Mendling
Designing Process Models to Support Communication and Decision Making
Quelle ↗Förderer: Alexander von Humboldt-Stiftung Zeitraum: 12/2010 - 09/2011 Projektleitung: Prof. Dr. Jan Mendling
Einstein-Profil-Professur Business Process Science
Quelle ↗Förderer: Einstein Profil Professur Zeitraum: 04/2021 - 12/2027 Projektleitung: Prof. Dr. Jan Mendling
FOR 5495/1: VisualMine: Visual Analytics für Process Mining auf verteilten Ereignisquellen (TP VisualMine)
Quelle ↗Förderer: DFG Forschungsgruppe Zeitraum: 07/2023 - 06/2027 Projektleitung: Prof. Dr. Jan Mendling
SFB 1404/2: Frühphase des Workflow-Entwurfs: Von kollaborativer wissenschaftlicher Problemlösung zu DAW-Spezifikationen (TP C02)
Quelle ↗Förderer: DFG Sonderforschungsbereich Zeitraum: 07/2024 - 06/2028 Projektleitung: Prof. Dr. Jan Mendling
Verbundprojekt: Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 1. Etablierungsphase
Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 09/2022 - 10/2025 Projektleitung: Prof. Dr. Jan Mendling
Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 2. Etablierungsphase
Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 10/2025 - 10/2027 Projektleitung: Prof. Dr. Jan Mendling
Mögliche Industrie-Partner10
Stand: 26.4.2026, 19:48:44 (Top-K=20, Min-Cosine=0.4)
- 156 Treffer64.0%
- Workshop Reliable Methods and Mathematical ModelingP64.0%
- Workshop Reliable Methods and Mathematical Modeling
- 103 Treffer59.8%
- Systematic Models for Biological Systems Engineering Training NetworkP59.8%
- Systematic Models for Biological Systems Engineering Training Network
- 102 Treffer59.8%
- Systematic Models for Biological Systems Engineering Training NetworkP59.8%
- Systematic Models for Biological Systems Engineering Training Network
- 102 Treffer59.8%
- Systematic Models for Biological Systems Engineering Training NetworkP59.8%
- Systematic Models for Biological Systems Engineering Training Network
Protatuans-Etaireia Ereynas Viotechologias Monoprosopi Etaireia Periorisments Eythinis
PT97 Treffer59.8%- Systematic Models for Biological Systems Engineering Training NetworkP59.8%
- Systematic Models for Biological Systems Engineering Training Network
- 51 Treffer59.5%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)P59.5%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)
NVIDIA GmbH
PT49 Treffer59.5%- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)P59.5%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)
- 63 Treffer59.5%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)P59.5%
- EU: Bottom-Up Generation of atomicalLy Precise syntheTIc 2D MATerials for High Performance in Energy and Electronic Applications – A Multi-Site Innovative Training Action (ULTIMATE)P48.9%
- EU: Simulation in Multiscale Physical and Biological Systems (STIMULATE)
- 43 Treffer59.5%
- INTeractive RObotics Research NetworkP59.5%
- INTeractive RObotics Research Network
- 44 Treffer59.5%
- INTeractive RObotics Research NetworkP59.5%
- INTeractive RObotics Research Network
Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
1648 Zitationen · DOI
1317 Zitationen · DOI
Lecture notes in business information processing · 1193 Zitationen · DOI
ACM Transactions on Management Information Systems · 690 Zitationen · DOI
Blockchain technology offers a sizable promise to rethink the way interorganizational business processes are managed because of its potential to realize execution without a central party serving as a single point of trust (and failure). To stimulate research on this promise and the limits thereof, in this article, we outline the challenges and opportunities of blockchain for business process management (BPM). We first reflect how blockchains could be used in the context of the established BPM lifecycle and second how they might become relevant beyond. We conclude our discourse with a summary of seven research directions for investigating the application of blockchain technology in the context of BPM.
Information and Software Technology · 612 Zitationen · DOI
Information Systems · 600 Zitationen · DOI
Lecture notes in computer science · 522 Zitationen · DOI
Electronic Markets · 306 Zitationen · DOI
Recent years have seen the emergence of physical products that are digitally networked with other products and with information systems to enable complex business scenarios in manufacturing, mobility, or healthcare. These “smart products”, which enable the co-creation of “smart service” that is based on monitoring, optimization, remote control, and autonomous adaptation of products, profoundly transform service systems into what we call “smart service systems”. In a multi-method study that includes conceptual research and qualitative data from in-depth interviews, we conceptualize “smart service” and “smart service systems” based on using smart products as boundary objects that integrate service consumers’ and service providers’ resources and activities. Smart products allow both actors to retrieve and to analyze aggregated field evidence and to adapt service systems based on contextual data. We discuss the implications that the introduction of smart service systems have for foundational concepts of service science and conclude that smart service systems are characterized by technology-mediated, continuous, and routinized interactions.
Lecture notes in computer science · 302 Zitationen · DOI
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 271 Zitationen · DOI
Business process models are key artifacts in the development of information systems. While one of their main purposes is to facilitate communication among stakeholders, little is known about the factors that influence their comprehension by human agents. On the basis of a sound theoretical foundation, this paper presents a study into these factors. Specifically, the effects of both personal and model factors are investigated. Using a questionnaire, students from three different universities evaluated a set of realistic process models. Our findings are that both types of investigated factors affect model understanding, while personal factors seem to be the more important of the two. The results have been validated in a replication that involves professional modelers.
Information Systems · 261 Zitationen · DOI
Notes on numerical fluid mechanics and multidisciplinary design · 247 Zitationen · DOI
Notes on numerical fluid mechanics and multidisciplinary design · 240 Zitationen · DOI
Lecture notes in computer science · 226 Zitationen · DOI
Computers in Industry · 217 Zitationen · DOI
Expert Systems with Applications · 212 Zitationen · DOI
ACM Transactions on Software Engineering and Methodology · 211 Zitationen · DOI
Several methods for enterprise systems analysis rely on flow-oriented representations of business operations, otherwise known as business process models. The Business Process Modeling Notation (BPMN) is a standard for capturing such models. BPMN models facilitate communication between domain experts and analysts and provide input to software development projects. Meanwhile, there is an emergence of methods for enterprise software development that rely on detailed process definitions that are executed by process engines. These process definitions refine their counterpart BPMN models by introducing data manipulation, application binding, and other implementation details. The de facto standard for defining executable processes is the Business Process Execution Language (BPEL). Accordingly, a standards-based method for developing process-oriented systems is to start with BPMN models and to translate these models into BPEL definitions for subsequent refinement. However, instrumenting this method is challenging because BPMN models and BPEL definitions are structurally very different. Existing techniques for translating BPMN to BPEL only work for limited classes of BPMN models. This article proposes a translation technique that does not impose structural restrictions on the source BPMN model. At the same time, the technique emphasizes the generation of readable (block-structured) BPEL code. An empirical evaluation conducted over a large collection of process models shows that the resulting BPEL definitions are largely block-structured. Beyond its direct relevance in the context of BPMN and BPEL, the technique presented in this article addresses issues that arise when translating from graph-oriented to block-structure flow definition languages.
Data & Knowledge Engineering · 206 Zitationen · DOI
IEEE Transactions on Software Engineering · 197 Zitationen · DOI
Engineering of process-driven business applications can be supported by process modeling efforts in order to bridge the gap between business requirements and system specifications. However, diverging purposes of business process modeling initiatives have led to significant problems in aligning related models at different abstract levels and different perspectives. Checking the consistency of such corresponding models is a major challenge for process modeling theory and practice. In this paper, we take the inappropriateness of existing strict notions of behavioral equivalence as a starting point. Our contribution is a concept called behavioral profile that captures the essential behavioral constraints of a process model. We show that these profiles can be computed efficiently, i.e., in cubic time for sound free-choice Petri nets w.r.t. their number of places and transitions. We use behavioral profiles for the definition of a formal notion of consistency which is less sensitive to model projections than common criteria of behavioral equivalence and allows for quantifying deviation in a metric way. The derivation of behavioral profiles and the calculation of a degree of consistency have been implemented to demonstrate the applicability of our approach. We also report the findings from checking consistency between partially overlapping models of the SAP reference model.
TU/e Research Portal (Eindhoven University of Technology) · 184 Zitationen
In the area of software engineering, quality metrics have shown their importance for good programming practices and software designs. A design developed by the help of these metrics (e.g. coupling, cohesion, complexity, modularity and size) as guiding principals is likely to be less error-prone, easy to understand, maintain, and manage, and is more efficient. Several researchers already identified similarities between software programs and business process designs and recognized the potential of quality metrics in business process management (Cardoso, Mendling, Neuman & Reliers, 2006; Gruhn & Laue, 2006; Latva-Koivisto, 2001). This chapter elaborates on the importance of quality metrics for business process modeling. It presents a classification and an overview of current business process metrics and it gives an example of the implementation of these metrics using the ProM tool. ProM is an analysis tool, freely available, that can be used to study process models implemented in more than eight languages.
Information Systems · 183 Zitationen · DOI
Lecture notes in business information processing · 183 Zitationen · DOI
European Journal of Information Systems · 172 Zitationen · DOI
The world is blazing with change and digital innovation is fuelling the fire. Process management can help channel the heat into useful work. Unfortunately, research on digital innovation and process management has been conducted by separate communities operating under orthogonal assumptions. We argue that a synthesis of assumptions is required to bring these streams of research together. We offer suggestions for how these assumptions can be updated to facilitate a convergent conversation between the two research streams. We also suggest ways that methodologies from each stream could benefit the other. Together with the three exemplar empirical studies included in the special issue on business process management and digital innovation, we develop a broader foundation for reinventing research on business process management in a world ablaze with digital innovation.
Communications of the Association for Information Systems · 172 Zitationen · DOI
This paper summarizes a panel discussion at the 15th International Conference on Business Process Management. The panel discussed to what extent the emergence of recent technologies including machine learning, robotic process automation, and blockchain will reduce the human factor in business process management. The panel discussion took place on 14 September, 2017, at the Universitat Politècnica de Catalunya in Barcelona, Spain. Jan Mendling served as a chair; Gero Decker, Richard Hull, Hajo Reijers, and Ingo Weber participated as panelists. The discussions emphasized the impact of emerging technologies at the task level and the coordination level. The major challenges that the panel identified relate to employment, technology acceptance, ethics, customer experience, job design, social integration, and regulation.
Decision Support Systems · 156 Zitationen · DOI
Kooperationen11
Bestätigte Forscher↔Partner-Paare aus HU-FIS — Gold-Standard-Positive für das Matching.
FOR 5495/1: VisualMine: Visual Analytics für Process Mining auf verteilten Ereignisquellen (TP VisualMine)
university
Verbundprojekt: Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 1. Etablierungsphase
other
Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 2. Etablierungsphase
university
Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 2. Etablierungsphase
university
FOR 5495/1: VisualMine: Visual Analytics für Process Mining auf verteilten Ereignisquellen (TP VisualMine)
university
FOR 5495/1: VisualMine: Visual Analytics für Process Mining auf verteilten Ereignisquellen (TP VisualMine)
university
Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 2. Etablierungsphase
university
Auswirkungen von Process-Mining-Werkzeugen auf die Prozessanalyse (ProImpact)
university
Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 2. Etablierungsphase
university
Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 2. Etablierungsphase
research_institute
Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut - 2. Etablierungsphase
other
Stammdaten
Identität, Organisation und Kontakt aus HU-FIS.
- Name
- Prof. Dr. Jan Mendling
- Titel
- Prof. Dr.
- Fakultät
- Mathematisch-Naturwissenschaftliche Fakultät
- Institut
- Institut für Informatik
- Arbeitsgruppe
- Prozessmanagement und Informationssysteme
- Telefon
- +49 30 2093-41279
- HU-FIS-Profil
- Quelle ↗
- Zuletzt gescrapt
- 26.4.2026, 01:09:13